Recent submissions

Comment · 2 months ago
I wonder when dynamic pricing based on the users chat history will be a thing. The users context based of LLM conversation should be way more detailed compared to traditional cookie tracking. Also buyers manipulation could be done at some point. Pretty scary to think about
Comment · 2 months ago
Yes that sounds coherent with what I experienced. I guess for people that like to build more than advertise, most projects are destined to live in the drawer.
Comment · 2 months ago
I suspect that it’s used in headless clip mode to reliably convert file formats back and forth.
Comment · 2 months ago
I did this just yesterday with a smart light. Used Deepseek-v4-flash. In about 2h I had a custom firmware on the smart light running that I could control from its api endpoints. Also now Im hosting a small web-server on there that lets me set schedules and sleep timers. No im not relying on their proprietary cloud anymore to toggle my lights. Which is insane to start with. Why should my phone that is in my home network need to send the "light on" command ot some cloud in a different country, only to then send the command back into my home network and turn the light on.

Im definitly very exited to try this our with more devices in my live.

Comment · 2 months ago
Also a reverse engineering tasks that can be don with just static analysis is arguably not the hardest reverse engineering task. For those small models I would say it's not about the capabilities but more about the context size it can actually use.
Comment · 3 months ago
Yes, it uses dynamic programming to find the best finger choices while minimising cost. Cost can be for example number of shifts done or the gap to shift. The specific name is „Viterbi Algorithm“. The advantage to modern AI solutions is that here we have control over specific costs and can control the output. Eg „I want to have the simplest finger choices possible.“ or „Avoid specific fingers on specific strings for harmonic sound (on violin open string are sounding different)“
Comment · 3 months ago
Yeah, the benefit of restricting us models is definitely outweighed by the positive effect these models could have for the OSS community!
Comment · 1 year ago
Comment · 3 years ago
The Live-Earth-Wallpapers project is a Python program that allows users to set their desktop background to near real-time images of the earth. The program supports various satellite images and NASA's APOD, and is available for Linux, Windows and MacOS with easy installation. It also offers a command line interface and GUI for ease of use and allows users to personalize the background using a config.yml file.

Introducing Live-Earth-Wallpapers, a Python program that allows you to set your desktop background to near real-time pictures of the earth. With support for all known geostationary satellites, high resolution Sentinel images, NASA Solar Dynamics Observatory images, and NASA's Astronomy Picture of the Day (APOD), this program offers a wide range of options to customize your desktop background.

The program is available for Linux, Windows, and MacOS, and can be easily installed using PyPi, the liewaInstaller.exe, or the liewa.deb and liewa.dmg files. The program also comes with a command line interface (liewa-cli) and a GUI (liewa-gui) for ease of use.

To use the program, you will need to have Python installed and added to your system path variable. Once installed, you can use the program's script parameters to customize your background image. The composition of your background image is defined by a config.yml file, which can be personalized using the detailed instructions provided in the program's wiki page.

Overall, Live-Earth-Wallpapers offers a unique way to enhance your desktop experience by providing near real-time images of the earth as your background. With its wide range of options, easy installation, and personalized configuration, this program is a must-have for anyone looking to add a touch of nature to their desktop. You can find the GitHub link for the project here: https://github.com/lennart-rth/Live-Earth-Wallpapers

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